An Introduction to Online Computation
Determinism, Randomization, Advice
(Sprache: Englisch)
This textbook explains online computation in different settings, with particular emphasis on randomization and advice complexity. These settings are analyzed for various online problems such as the paging problem, the k-server problem, job shop scheduling,...
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Klappentext zu „An Introduction to Online Computation “
This textbook explains online computation in different settings, with particular emphasis on randomization and advice complexity. These settings are analyzed for various online problems such as the paging problem, the k-server problem, job shop scheduling, the knapsack problem, the bit guessing problem, and problems on graphs. This book is appropriate for undergraduate and graduate students of computer science, assuming a basic knowledge in algorithmics and discrete mathematics. Also researchers will find this a valuable reference for the recent field of advice complexity.
Inhaltsverzeichnis zu „An Introduction to Online Computation “
Introduction.- Randomization.- Advice Complexity.- The k -Server Problem.- Job Shop Scheduling.- The Knapsack Problem.- The Bit Guessing Problem.- Problems on Graphs.Autoren-Porträt von Dennis Komm
Dr. Dennis Komm is a lecturer in the Chair of Information Technology and Education at ETH Zürich. His research interests include approximation algorithms for hard optimization problems, re-optimization of optimization problems, and advice complexity in different setups and environments.
Bibliographische Angaben
- Autor: Dennis Komm
- 2018, Softcover reprint of the original 1st ed. 2016, XV, 349 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319826530
- ISBN-13: 9783319826530
Sprache:
Englisch
Pressezitat
"This book is about online algorithms for optimization problems. ... The book can be used as a textbook on the undergraduate level. ... The book can also be used for self-study and as a reference. Its strength in this regard is enhanced by the historical notes at the end of each chapter and a comprehensive bibliography." (Bogdan S. Chlebus,Mathematical Reviews, March, 2018)"This text is an important contribution to the field of online algorithms. ... Without a doubt, this text is a must-read for anyone seriously pursuing the analysis of algorithms, particularly online versions of those algorithms." (Michael Goldberg and R. Goldberg, Computing Reviews, October, 2017)
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